Gopuff is the go-to instant commerce platform, delivering everyday essentials in minutes. Powered by a network of fulfillment centers and cutting-edge technology, we serve millions of customers across the US and beyond. Data Science sits at the heart of how we delight customers, optimize operations, and grow our advertising business — and we're looking for a leader to push all three forward.
As Director of Data Science, you will lead a high-impact team responsible for the models and intelligence that power Gopuff's consumer experience, delivery network, and advertising platform. This is a hands-on leadership role — you'll set technical direction, architect solutions, and write code alongside your team. You'll partner closely with Product, Engineering, and Business leaders to translate complex ML capabilities into measurable business outcomes.
What We Offer
- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Fitness Reimbursement Program
- 25% employee discount & FAM Membership
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
What You'll Do
Own the end-to-end data science roadmap across Consumer, Delivery, and Ads — translating business priorities into a coherent ML strategy with clear milestones and measurable ROI.
Provide strong technical direction and mentorship to a team of Data Scientists and ML Engineers; establish best practices for model development, evaluation, and deployment.
Partner with C-suite and senior product leadership to influence product strategy and build organizational confidence in ML-driven decision-making.
Drive a culture of experimentation: define measurement frameworks, champion A/B testing rigor, and hold the team accountable to business impact.
Consumer — Search, Recommendations & PersonalizationLead the design and continuous improvement of Gopuff's search ranking and query understanding systems, including semantic search and intent modeling.
Build and scale personalization infrastructure that adapts the customer experience in real time — from homepage carousels to dynamic upsell and cross-sell surfaces.
Develop next-generation recommendation models (collaborative filtering, two-tower retrieval, contextual bandits) that drive basket size and repeat purchase.
Partner with Product to define upsell and nudge strategies grounded in behavioral signals and causal inference.
Work day to day with gopuff engineering teams to bring search and recommendation changes to life
Delivery IntelligenceOwn the predictive models powering ETA accuracy, dynamic dispatch, and driver routing that underpin Gopuff's speed promise.
Apply ML to optimize zone coverage, demand forecasting, and fleet utilization — directly impacting contribution margin.
Partner with Operations to turn model outputs into actionable tooling for fulfillment center and driver teams.
Ads & MonetizationArchitect and own Gopuff's ad ranking stack — query-ad relevance scoring, multi-objective ranking (revenue × customer experience), and auction mechanics.
Build CTR/CVR prediction models and closed-loop attribution pipelines for sponsored product, display, and offsite formats.
Define and improve advertiser-facing ML products: bid optimization, budget pacing, audience targeting, and incrementality measurement.
Collaborate with the Ads Product and Sales teams to grow advertiser ROI while protecting the organic shopping experience.
What We're Looking For
8+ years in applied data science or ML, with at least 3 years managing teams of scientists and engineers in a fast-paced tech or e-commerce environment.
Ad ranking or retrieval systems in e-commerce, marketplace, or search contexts — including relevance modeling and multi-objective optimization. Proven experience building and shipping
two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling. Deep expertise in modern ML architectures:
Strong product intuition and business acumen — you can connect model improvements to revenue, NPS, and operational metrics and communicate this clearly to executives.
proficient in Python and comfortable diving into model code, experiment pipelines, and production systems. Hands-on coder:
familiar with feature stores, model registries, real-time serving, and experimentation platforms. Experience with large-scale ML infrastructure:
Track record of building and retaining diverse, high-performing data science teams.
PreferredPrior leadership at a consumer marketplace, quick-commerce, grocery, or retail media company.
Familiarity with retail media network (RMN) measurement standards and privacy-preserving attribution techniques.
Experience with real-time personalization at scale, including streaming feature pipelines. Familiarity with Databricks and Snowflake is a plus.
Publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent.
Why Gopuff?
Unique data moat: real-time demand signals from millions of orders, deep catalog and fulfillment data, and a first-party advertising signal set most companies can only dream about.
High-autonomy, high-impact: you'll report to senior leadership and own the roadmap — no bureaucracy between your ideas and production.
Greenfield opportunity: many of these ML capabilities are being built from the ground up, giving you the chance to architect lasting systems.
Competitive compensation package including equity, performance bonus, and comprehensive benefits.
Compensation
- Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
- This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
- Base Salary Range: $215,000 - $275,000
Skills Required
- 8+ years in applied data science or ML with at least 3 years managing teams in a tech or e-commerce environment
- Experience with ad ranking or retrieval systems in e-commerce, marketplace, or search contexts including relevance modeling and multi-objective optimization
- Deep expertise in modern ML architectures: two-tower retrieval, transformers, LLMs, contextual bandits, GNNs, and causal/uplift modeling
- Proficient in Python and comfortable diving into model code, experiment pipelines, and production systems
- Familiarity with feature stores, model registries, real-time serving, and experimentation platforms
- Track record of building and retaining diverse, high-performing data science teams
- Prior leadership at a consumer marketplace, quick-commerce, grocery, or retail media company
- Familiarity with retail media network measurement standards and privacy-preserving attribution techniques
- Experience with real-time personalization at scale and streaming feature pipelines; familiarity with Databricks and Snowflake
- Publications or presentations at NeurIPS, KDD, RecSys, SIGIR, or equivalent
Gopuff Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gopuff and has not been reviewed or approved by Gopuff.
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Healthcare Strength — Healthcare coverage is described as comprehensive for eligible employees, spanning medical, dental, vision, mental-health support via an EAP, and life/disability insurance. Family-building support is also included through fertility and surrogacy benefits.
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Retirement Support — Retirement benefits include a 401(k) plan with an employer match that is described as immediately vested. Equity is also noted for some employees through RSUs and performance-related rewards.
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Parental & Family Support — Parental leave is characterized as robust, with fully paid leave periods for birth and non-birth/intended parents. Childcare benefits are also referenced as available for working parents.
Gopuff Insights
What We Do
Gopuff is the go-to solution for immediate everyday needs, fulfilling customer orders of cleaning and home products, over-the-counter medications, baby and pet products, food and drinks, and in some markets, alcohol – in just minutes. With micro-fulfillment centers in every market it serves, the company delivers thousands of products quickly for a flat $2.95 delivery charge. Gopuff is open 24/7 in many markets and late-night everywhere else to bring customers what they need when they need it most. Gopuff was founded in 2013 by co-CEOs Rafael Ilishayev and Yakir Gola when they were college students at Drexel University. The Philadelphia-based company now operates more than 600 micro-fulfillment centers in more than 1000 markets across the United States, including Chicago and its suburbs. It has raised more than $3.4B in funding.
Why Work With Us
We are the instant needs category creator, delivering in about 30 minutes for a $2.95 delivery fee. Our business model sets us apart: we own the products we sell and house them locally in our own micro-fulfillment centers. We have an entrepreneurial culture and constantly innovate to build new categories that improve customer experience.
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